The workshop intends to focus on applying self-X principles to the integration of “Interwoven Systems” (where an “Interwoven System” is a system cutting across several technical domains, combining traditionally engineered systems, systems making use of self-X properties and methods, and human systems). The goal of the workshop is to identify key challenges involved in creating self-integrating systems and consider methods to achieve continuous self-improvement for this integration process.
HotCloudPerf workshop proposes a meeting venue for academics and practitioners, from experts to trainees, in the field of cloud computing performance. The workshop aims to engage this community, and to lead to the development of new methodological aspects for gaining deeper understanding not only of cloud performance, but also of cloud operation and behavior, through diverse quantitative evaluation tools, including benchmarks, metrics, and workload generators. The workshop focuses on novel cloud properties such as elasticity, performance isolation, dependability, and other non-functional system properties, in addition to classical performance-related metrics such as response time, throughput, scalability, and efficiency.
Each year, the workshop chooses a focus theme to explore; for 2019, the theme is “Performance in the cloud datacenter.” Articles focusing on this topic are particularly encouraged for HotCloudPerf-2019.
The eCAS’19 workshop focuses on the various aspects of the engineering of collective adaptive systems, including principles, theories, languages, methodologies, tools, and applications.
The 1st Evaluations and Measurements in Self-Aware Computing Systems (EMSAC’19) Workshop aims to address the issues and challenges concerning the evaluation of the quality (of the design and execution) of autonomous, self-aware and self-managing systems, as well as measurements concerning or related to the self-* or autonomous features of a system. We are also interested in approaches which manage the trade-offs among various different quality attributes and focus on the autonomy of the system. Existing quality assurance and evaluation solutions should be adapted and improved to meet the evolving and dynamic requirements of self-aware and self-managing systems. Novel design and evaluation solutions are needed to face the complexity of autonomy and self-management, as well as to evaluate and measure the self-* mechanisms and their advantages in front of the effort spent for their development.
The workshop on self-aware computing (SeAC) provides a forum for exchange of ideas and experiences in the interdisciplinary area of self-aware computing, fostering interaction and collaborations between the different research communities interested in self-aware computing systems. The workshop was initiated by the 2015 Dagstuhl Seminar 15041 on model-driven algorithms and architectures for self-aware computing systems, which brought together 45 international experts.
This year we will have a special theme on IoT and Cyber-physical systems and highly appreciate submission that apply self-aware computing principles in these domains.
Effectively protecting computer systems from cyber-attacks is a challenging task due to their large scale and the heterogeneity of the underlying hardware and software components. Furthermore, when trying to defend from an attack, the time factor is critical and any non-guided human resolution attempt could introduce a significant stress and delay to the execution of the proper response. This situation provides the attackers more time to accomplish their objectives.
Several organizations, including the National Institute of Standards and Technology (NIST), have released guidelines and best practices to manage cyber-security related risk (e.g., the NIST Cybersecurity Framework 1.1). However, despite a growing interest in the area in the last 4-5 years, automation of cyber-security operations is still at its early stages.
Automatically defending a computer system encompasses a large number of activities, that range from data capture, management and analysis, to automated decision making and automated system operations.
In this workshop, we solicit high quality contributions that fit with the overarching idea of creating a fully automated protection system based on the Monitor, Analyze, Plan, Execute (MAPE) loop for autonomic systems.
7th International Workshop on Autonomic Management of high performance Grid and Cloud Computing (AMGCC’19)
Grid computing leverages enormous computing resources scattered over the internet in order to integrate and form a large-scale computing platform to solve grand-scale problems. Grid computing also has had great influence on the cloud computing besides the virtualization technology which logically decouples the physical computing resources with the computing system. Consequently, the cloud computing provides cost-effective, fast, and unlimited virtualized resources for large-scale applications. Cloud computing is also used as “utility computing” where the computing services are provided on-demand and as needs based. Thus, it is commonly deployed for various applications these days.
Managing hybrid, virtualized computing resources in a large-scale cloud computing environments, however, still leaves a lot of research to be conducted. Furthermore, autonomous managements of resources in such a large scale federated hybrid computing infrastructures are crucial. In this workshop, we would like to bring researcher around the world to discuss and communicate the challenges and research results in the design, implementation, and evaluation of novel autonomous hybrid cloud resource management systems, and the theory and practice of cloud and grid resource management.
SOCO aims at cumulating, presenting, discussing and advancing new research results from theory and practice as well as novel scientific concepts and methodologies in the field of self-organised construction. Inspired by social insects’ nest construction, SOCO integrates aspects of swarm robotics, biology and architecture.